Simulation software: Difference between revisions

Revision as of 12:56, 6 August 2019

Revision as of 12:57, 6 August 2019

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'''Simulation software''' is based on the process of modeling a real phenomenon with a set of [[mathematical formulas]]. It is, essentially, a program that allows the user to observe an operation through simulation without actually performing that operation. Simulation software is used widely to design equipment so that the final product will be as close to design specs as possible without expensive in process modification. Simulation software with [[Real-time computing|real-time]] response is often used in gaming, but it also has important industrial applications. When the penalty for improper operation is costly, such as airplane pilots, nuclear power plant operators, or chemical plant operators, a mockamock up of the actual control panel is connected to a real-time simulation of the physical response, giving valuable training experience without fear of a disastrous outcome. One good example of the simulation software is [https://www.visualcomponents.com/ Visual Components].

Advanced [[computer programs]] can simulate [[power system]] behavior <ref>{{Cite web|url=|doi=10.1016/B978-0-12-809597-3.00518-6|title=Energy Management Softwares and Tools - Comprehensive Energy Systems - 5.6}}</ref>, [[weather]] conditions, [[electronic circuits]], [[chemical reactions]], [[mechatronics]] <ref>{{Cite journal|last=Mahmud|first=Khizir|last2=Town|first2=Graham E.|title=A review of computer tools for modeling electric vehicle energy requirements and their impact on power distribution networks|journal=Applied Energy|volume=172|pages=337–359|doi=10.1016/j.apenergy.2016.03.100|year=2016}}</ref>, [[Heat pump and refrigeration cycle|heat pumps]], [[control engineering|feedback control systems]], atomic reactions, even complex [[biological processes]]. In theory, any phenomena that can be reduced to mathematical data and equations can be simulated on a computer. Simulation can be difficult because most natural phenomena are subject to an almost infinite number of influences. One of the tricks to developing useful simulations is to determine which are the most important factors that affect the goals of the simulation.